| 2024 | Accelerating Privacy-Preserving Machine Learning With GeniBatch. Xinyang Huang, Junxue Zhang, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen |
| 2024 | Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. Guodong Liu, Youshan Miao, Zhiqi Lin, Xiaoxiang Shi, Saeed Maleki, Fan Yang, Yungang Bao, Sa Wang |
| 2024 | Adaptable Runtime Monitoring for Intermittent Systems. Eren Yildiz, Khakim Akhunov, Lorenzo Antonio Riva, Arda Goknil, Ivan Kurtev, Kasim Sinan Yildirim |
| 2024 | Astraea: Towards Fair and Efficient Learning-based Congestion Control. Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen |
| 2024 | Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. Ka-Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu |
| 2024 | Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu |
| 2024 | Bandle: Asynchronous State Machine Replication Made Efficient. Bo Wang, Shengyun Liu, He Dong, Xiangzhe Wang, Wenbo Xu, Jingjing Zhang, Ping Zhong, Yiming Zhang |
| 2024 | Blaze: Holistic Caching for Iterative Data Processing. Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun |
| 2024 | Blox: A Modular Toolkit for Deep Learning Schedulers. Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman |
| 2024 | CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu |
| 2024 | CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu |
| 2024 | CSAL: the Next-Gen Local Disks for the Cloud. Yanbo Zhou, Erci Xu, Li Zhang, Kapil Karkra, Mariusz Barczak, Wayne Gao, Wojciech Malikowski, Mateusz Kozlowski, Lukasz Lasek, Ruiming Lu, Feng Yang, Lilong Huang, Xiaolu Zhang, Keqiang Niu, Jiaji Zhu, Jiesheng Wu |
| 2024 | Characterization and Reclamation of Frozen Garbage in Managed FaaS Workloads. Ziming Zhao, Mingyu Wu, Haibo Chen, Binyu Zang |
| 2024 | Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello |
| 2024 | Contigra: Graph Mining with Containment Constraints. Joanna Che, Kasra Jamshidi, Keval Vora |
| 2024 | Core Graph: Exploiting Edge Centrality to Speedup the Evaluation of Iterative Graph Queries. Xiaolin Jiang, Mahbod Afarin, Zhijia Zhao, Nael B. Abu-Ghazaleh, Rajiv Gupta |
| 2024 | Dashing and Star: Byzantine Fault Tolerance with Weak Certificates. Sisi Duan, Haibin Zhang, Xiao Sui, Baohan Huang, Changchun Mu, Gang Di, Xiaoyun Wang |
| 2024 | DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation. Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu, Hani Jamjoom, K. R. Jayaram, Enriquillo Valdez, Ashish Verma |
| 2024 | Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy. Zhifeng Jiang, Wei Wang, Ruichuan Chen |
| 2024 | Draconis: Network-Accelerated Scheduling for Microsecond-Scale Workloads. Sreeharsha Udayashankar, Ashraf Abdel-Hadi, Ali José Mashtizadeh, Samer Al-Kiswany |
| 2024 | DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines. Chenyu Jiang, Zhen Jia, Shuai Zheng, Yida Wang, Chuan Wu |
| 2024 | Effective Bug Detection with Unused Definitions. Li Zhong, Chengcheng Xiang, Haochen Huang, Bingyu Shen, Eric Mugnier, Yuanyuan Zhou |
| 2024 | Efficient Auditing of Event-driven Web Applications. Ioanna Tzialla, Jeffery Wang, Jingyi Zhu, Aurojit Panda, Michael Walfish |
| 2024 | Enoki: High Velocity Linux Kernel Scheduler Development. Samantha Miller, Anirudh Kumar, Tanay Vakharia, Ang Chen, Danyang Zhuo, Thomas E. Anderson |
| 2024 | Erlang: Application-Aware Autoscaling for Cloud Microservices. Vighnesh Sachidananda, Anirudh Sivaraman |
| 2024 | Exploring Performance and Cost Optimization with ASIC-Based CXL Memory. Yupeng Tang, Ping Zhou, Wenhui Zhang, Henry Hu, Qirui Yang, Hao Xiang, Tongping Liu, Jiaxin Shan, Ruoyun Huang, Cheng Zhao, Cheng Chen, Hui Zhang, Fei Liu, Shuai Zhang, Xiaoning Ding, Jianjun Chen |
| 2024 | Exploring the Asynchrony of Slow Memory Filesystem with EasyIO. Bohong Zhu, Youmin Chen, Jiwu Shu |
| 2024 | FLOAT: Federated Learning Optimizations with Automated Tuning. Ahmad Faraz Khan, Azal Ahmad Khan, Ahmed M. Abdelmoniem, Samuel Fountain, Ali Raza Butt, Ali Anwar |
| 2024 | FLOWS: Balanced MRC Profiling for Heterogeneous Object-Size Cache. Xiaojun Guo, Hua Wang, Ke Zhou, Hong Jiang, Yaodong Han, Guangjie Xing |
| 2024 | Finding Correctness Bugs in eBPF Verifier with Structured and Sanitized Program. Hao Sun, Yiru Xu, Jianzhong Liu, Yuheng Shen, Nan Guan, Yu Jiang |
| 2024 | GMorph: Accelerating Multi-DNN Inference via Model Fusion. Qizheng Yang, Tianyi Yang, Mingcan Xiang, Lijun Zhang, Haoliang Wang, Marco Serafini, Hui Guan |
| 2024 | HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis. Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin |
| 2024 | HD-IOV: SW-HW Co-designed I/O Virtualization with Scalability and Flexibility for Hyper-Density Cloud. Zongpu Zhang, Jiangtao Chen, Banghao Ying, Yahui Cao, Lingyu Liu, Jian Li, Xin Zeng, Junyuan Wang, Weigang Li, Haibing Guan |
| 2024 | Halflife: An Adaptive Flowlet-based Load Balancer with Fading Timeout in Data Center Networks. Sen Liu, Yongbo Gao, Zixuan Chen, Jiarui Ye, Haiyang Xu, Furong Liang, Wei Yan, Zerui Tian, Quanwei Sun, Zehua Guo, Yang Xu |
| 2024 | Hoda: a High-performance Open vSwitch Dataplane with Multiple Specialized Data Paths. Heng Pan, Peng He, Zhenyu Li, Pan Zhang, Junjie Wan, Yuhao Zhou, Xiongchun Duan, Yu Zhang, Gaogang Xie |
| 2024 | Improving GPU Energy Efficiency through an Application-transparent Frequency Scaling Policy with Performance Assurance. Yijia Zhang, Qiang Wang, Zhe Lin, Pengxiang Xu, Bingqiang Wang |
| 2024 | Improving Resource and Energy Efficiency for Cloud 3D through Excessive Rendering Reduction. Tianyi Liu, Jerry Lucas, Sen He, Tongping Liu, Xiaoyin Wang, Wei Wang |
| 2024 | Jade: A High-throughput Concurrent Copying Garbage Collector. Mingyu Wu, Liang Mao, Yude Lin, Yifeng Jin, Zhe Li, Hongtao Lyu, Jiawei Tang, Xiaowei Lu, Hao Tang, Denghui Dong, Haibo Chen, Binyu Zang |
| 2024 | Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures. Tanmaey Gupta, Sanjeev Krishnan, Rituraj Kumar, Abhishek Vijeev, Bhargav S. Gulavani, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu |
| 2024 | LSGraph: A Locality-centric High-performance Streaming Graph Engine. Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao |
| 2024 | MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li |
| 2024 | Minuet: Accelerating 3D Sparse Convolutions on GPUs. Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko |
| 2024 | Model Selection for Latency-Critical Inference Serving. Daniel Mendoza, Francisco Romero, Caroline Trippel |
| 2024 | NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning. Dhananjay Saikumar, Blesson Varghese |
| 2024 | Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. Kai Ma, Cheng Li, Enzuo Zhu, Ruichuan Chen, Feng Yan, Kang Chen |
| 2024 | Occam: A Programming System for Reliable Network Management. Jiarong Xing, Kuo-Feng Hsu, Yiting Xia, Yan Cai, Yanping Li, Ying Zhang, Ang Chen |
| 2024 | On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud. Thanathorn Sukprasert, Abel Souza, Noman Bashir, David Irwin, Prashant J. Shenoy |
| 2024 | Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation. Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer, Yue Yu |
| 2024 | Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications. Foteini Strati, Xianzhe Ma, Ana Klimovic |
| 2024 | Polynima: Practical Hybrid Recompilation for Multithreaded Binaries. Chinmay Deshpande, Fabian Parzefall, Felicitas Hetzelt, Michael Franz |
| 2024 | Proceedings of the Nineteenth European Conference on Computer Systems, EuroSys 2024, Athens, Greece, April 22-25, 2024 |
| 2024 | Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts. Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira, Pedro Fonseca |
| 2024 | Puddles: Application-Independent Recovery and Location-Independent Data for Persistent Memory. Suyash Mahar, Mingyao Shen, TJ Smith, Joseph Izraelevitz, Steven Swanson |
| 2024 | SandTable: Scalable Distributed System Model Checking with Specification-Level State Exploration. Ruize Tang, Xudong Sun, Yu Huang, Yuyang Wei, Lingzhi Ouyang, Xiaoxing Ma |
| 2024 | Save the Bruised Striver: A Reliable Live Patching Framework for Protecting Real-World PLCs. Ming Zhou, Haining Wang, Ke Li, Hongsong Zhu, Limin Sun |
| 2024 | ScaleCache: A Scalable Page Cache for Multiple Solid-State Drives. Kiet Tuan Pham, Seokjoo Cho, Sangjin Lee, Lan Anh Nguyen, Hyeongi Yeo, Ipoom Jeong, Sungjin Lee, Nam Sung Kim, Yongseok Son |
| 2024 | ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu |
| 2024 | Serialization/Deserialization-free State Transfer in Serverless Workflows. Fangming Lu, Xingda Wei, Zhuobin Huang, Rong Chen, Mingyu Wu, Haibo Chen |
| 2024 | SmartNIC Security Isolation in the Cloud with S-NIC. Yang Zhou, Mark Wilkening, James Mickens, Minlan Yu |
| 2024 | Snatch: Online Streaming Analytics at the Network Edge. Yunming Xiao, Yibo Zhao, Sen Lin, Aleksandar Kuzmanovic |
| 2024 | SplitFT: Fault Tolerance for Disaggregated Datacenters via Remote Memory Logging. Xuhao Luo, Ramnatthan Alagappan, Aishwarya Ganesan |
| 2024 | TTLs Matter: Efficient Cache Sizing with TTL-Aware Miss Ratio Curves and Working Set Sizes. Sari Sultan, Kia Shakiba, Albert Lee, Paul Chen, Michael Stumm |
| 2024 | Totoro: A Scalable Federated Learning Engine for the Edge. Cheng-Wei Ching, Xin Chen, Taehwan Kim, Bo Ji, Qingyang Wang, Dilma Da Silva, Liting Hu |
| 2024 | TraceUpscaler: Upscaling Traces to Evaluate Systems at High Load. Sultan Mahmud Sajal, Timothy Zhu, Bhuvan Urgaonkar, Siddhartha Sen |
| 2024 | Transparent Multicore Scaling of Single-Threaded Network Functions. Lei Yan, Yueyang Pan, Diyu Zhou, George Candea, Sanidhya Kashyap |
| 2024 | Trinity: A Fast Compressed Multi-attribute Data Store. Ziming Mao, Kiran Srinivasan, Anurag Khandelwal |
| 2024 | Unison: A Parallel-Efficient and User-Transparent Network Simulation Kernel. Songyuan Bai, Hao Zheng, Chen Tian, Xiaoliang Wang, Chang Liu, Xin Jin, Fu Xiao, Qiao Xiang, Wanchun Dou, Guihai Chen |
| 2024 | Validating Database System Isolation Level Implementations with Version Certificate Recovery. Jack Clark, Alastair F. Donaldson, John Wickerson, Manuel Rigger |
| 2024 | Volley: Accelerating Write-Read Orders in Disaggregated Storage. Shaoxun Zeng, Xiaojian Liao, Hao Guo, Youyou Lu |
| 2024 | WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations. Kezhao Huang, Jidong Zhai, Liyan Zheng, Haojie Wang, Yuyang Jin, Qihao Zhang, Runqing Zhang, Zhen Zheng, Youngmin Yi, Xipeng Shen |
| 2024 | Wormhole Filters: Caching Your Hash on Persistent Memory. Hancheng Wang, Haipeng Dai, Rong Gu, Youyou Lu, Jiaqi Zheng, Jingsong Dai, Shusen Chen, Zhiyuan Chen, Shuaituan Li, Guihai Chen |
| 2024 | ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs. Bing-Jyue Chen, Suppakit Waiwitlikhit, Ion Stoica, Daniel Kang |